Search results for "EPIDEMIC"

showing 10 items of 138 documents

Exploring relationships between drought and epidemic cholera in Africa using generalised linear models

2021

Abstract Background Temperature and precipitation are known to affect Vibrio cholerae outbreaks. Despite this, the impact of drought on outbreaks has been largely understudied. Africa is both drought and cholera prone and more research is needed in Africa to understand cholera dynamics in relation to drought. Methods Here, we analyse a range of environmental and socioeconomic covariates and fit generalised linear models to publicly available national data, to test for associations with several indices of drought and make cholera outbreak projections to 2070 under three scenarios of global change, reflecting varying trajectories of CO2 emissions, socio-economic development, and population gr…

EpidemiologyPopulationClimate changeInfectious and parasitic diseasesRC109-216MicrobiologyCholera1108 Medical Microbiologyparasitic diseasesmedicinePopulation growthClimate changeHumansScenario analysisSocioeconomicseducationEpidemicsDisease outbreaksVibrio choleraeSustainable developmenteducation.field_of_studyPublic healthResearchOutbreakfood and beverages1103 Clinical SciencesGlobal changemedicine.diseaseCholeraDroughtsInfectious DiseasesGeographyVDP::Medisinske Fag: 700::Helsefag: 800AfricaLinear Models0605 MicrobiologyBMC Infectious Diseases
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Probabilistic stability analysis of social obesity epidemic by a delayed stochastic model

2014

Abstract Sufficient conditions for stability in probability of the equilibrium point of a social obesity epidemic model with distributed delay and stochastic perturbations are obtained. The obesity epidemic model is demonstrated on the example of the Region of Valencia, Spain. The considered nonlinear system is linearized in the neighborhood of the positive point of equilibrium and a sufficient condition for asymptotic mean square stability of the zero solution of the constructed linear system is obtained.

Equilibrium pointMathematical optimizationStochastic modellingApplied MathematicsLinear systemGeneral EngineeringProbabilistic logicZero (complex analysis)Computer Science::Social and Information NetworksGeneral MedicineQuantitative Biology::OtherStability (probability)Computational MathematicsNonlinear systemApplied mathematicsEpidemic modelGeneral Economics Econometrics and FinanceAnalysisMathematicsNonlinear Analysis: Real World Applications
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2020

Vector-borne diseases such as malaria, dengue fever, West Nile virus, and so forth are some of the most prominent threats to human health. They are transmitted to the human population by infected insects or by direct transmission between humans. The epidemic process relies on suitable environmental and climatic conditions. Indeed, climatic factors affect the development of pathogens in vectors as well as the population dynamics of the vectors impacting significantly the incidence of disease in the human population. While the influence of the climatic conditions on Vector-borne diseases is well-documented, there is a strong need to design more realistic epidemiological models incorporating e…

Estimation0209 industrial biotechnologyeducation.field_of_studyGeneral Computer ScienceTransmission (medicine)PopulationGeneral EngineeringOutbreak02 engineering and technologyDiseaseBiologymedicine.diseaseDengue fever020901 industrial engineering & automationVector (epidemiology)0202 electrical engineering electronic engineering information engineeringmedicineEconometrics020201 artificial intelligence & image processingGeneral Materials ScienceEpidemic modeleducationIEEE Access
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Opioid epidemic spread from Northern and Eastern Europe to Mediterranean Area.

2021

The addiction to illicit opioid and the misuse of prescription synthetic opioids pain relievers and fentanyl analogs generated an opioid epidemic in North America over the last two decades that affected public health with a constantly rising number of overdoses deaths. This health treat moved to Europe with a significant increase starting from 2015 involving mainly norther and eastern countries and finally also the Mediterranean area. The "lock down" isolation and economic recession caused by COVID-19 pandemic showed a resurgence in opioid use and harms.

EuropeSARS-CoV-2Synthetic opioidCOVID-19HumansOpioid-Related DisorderOpioid EpidemicOpioid-Related DisordersFentanyl analogs Opioid epidemicPandemicsHumanLa Clinica terapeutica
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Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks

2020

We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of the epidemic threshold for SIS and SIR epidemic models for a general adaptive strategy, which strongly depends on the correlations between activity and attractiveness in the susceptible and infected states. We focus on strong social distancing, implementing two types of quarantine inspired by recent real case studies: an active quarantine, in which the population compensates the loss of links rewiring the ineffective connections towards non-quarantining …

FOS: Computer and information sciences2019-20 coronavirus outbreakAdaptive strategiesPhysics - Physics and SocietyComputer scienceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PopulationFOS: Physical sciencesPhysics and Society (physics.soc-ph)Computer securitycomputer.software_genre01 natural sciences010305 fluids & plasmaslaw.inventionlawActive phase0103 physical sciencesQuarantinesusceptible-infected-recovered (SIR)010306 general physicseducationCondensed Matter - Statistical MechanicsAdaptive behaviorSocial and Information Networks (cs.SI)education.field_of_studyStatistical Mechanics (cond-mat.stat-mech)Computer Science - Social and Information Networksepidemic modelsusceptible-infected-susceptible (SIS)Epidemic modelcomputer
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Epidemic spreading and aging in temporal networks with memory

2018

Time-varying network topologies can deeply influence dynamical processes mediated by them. Memory effects in the pattern of interactions among individuals are also known to affect how diffusive and spreading phenomena take place. In this paper we analyze the combined effect of these two ingredients on epidemic dynamics on networks. We study the susceptible-infected-susceptible (SIS) and the susceptible-infected-removed (SIR) models on the recently introduced activity-driven networks with memory. By means of an activity-based mean-field approach we derive, in the long time limit, analytical predictions for the epidemic threshold as a function of the parameters describing the distribution of …

FOS: Computer and information sciencesPhysics - Physics and SocietyComputer scienceAnalytical predictionsEpidemic dynamicsFOS: Physical sciencesPhysics and Society (physics.soc-ph)Network topology01 natural sciences010305 fluids & plasmasNetworks and Complex Systems0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsLimit (mathematics)010306 general physicsQuantitative Biology - Populations and EvolutionEpidemic controlSocial and Information Networks (cs.SI)Populations and Evolution (q-bio.PE)Computer Science - Social and Information NetworksFunction (mathematics)Computer Science::Social and Information NetworksArticlesDynamic modelsEpidemic thresholdEpidemic spreadingFOS: Biological sciencesMean field approachPhysical Review. E
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Centrality measures for networks with community structure

2016

Understanding the network structure, and finding out the influential nodes is a challenging issue in the large networks. Identifying the most influential nodes in the network can be useful in many applications like immunization of nodes in case of epidemic spreading, during intentional attacks on complex networks. A lot of research is done to devise centrality measures which could efficiently identify the most influential nodes in the network. There are two major approaches to the problem: On one hand, deterministic strategies that exploit knowledge about the overall network topology in order to find the influential nodes, while on the other end, random strategies are completely agnostic ab…

FOS: Computer and information sciencesStatistics and ProbabilityPhysics - Physics and SocietyExploitComplex networksFOS: Physical sciencesNetwork sciencePhysics and Society (physics.soc-ph)Network theoryMachine learningcomputer.software_genreNetwork topologyImmunization strategies01 natural sciences010305 fluids & plasmas0103 physical sciences010306 general physicsMathematicsSocial and Information Networks (cs.SI)Structure (mathematical logic)[PHYS.PHYS]Physics [physics]/Physics [physics]business.industryCommunity structureComputer Science - Social and Information NetworksComplex networkEpidemic dynamicsCondensed Matter Physics[ PHYS.PHYS ] Physics [physics]/Physics [physics]Community structureArtificial intelligenceData miningbusinessCentralitycomputer
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Immunization Strategies Based on the Overlapping Nodes in Networks with Community Structure

2016

International audience; Understanding how the network topology affects the spread of an epidemic is a main concern in order to develop efficient immunization strategies. While there is a great deal of work dealing with the macroscopic topological properties of the networks, few studies have been devoted to the influence of the community structure. Furthermore, while in many real-world networks communities may overlap, in these studies non-overlapping community structures are considered. In order to gain insight about the influence of the overlapping nodes in the epidemic process we conduct an empirical evaluation of basic deterministic immunization strategies based on the overlapping nodes.…

FOS: Computer and information sciencesTheoretical computer science[ INFO ] Computer Science [cs]Computer scienceProcess (engineering)Epidemic02 engineering and technologyNetwork topology01 natural sciencesComplex NetworksDiffusion020204 information systems0103 physical sciencesNode (computer science)[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]0202 electrical engineering electronic engineering information engineeringOverlapping community[INFO]Computer Science [cs]010306 general physicsSocial and Information Networks (cs.SI)Connected componentWelfare economicsCommunity structureComputer Science - Social and Information NetworksAttackImmunization (finance)Complex networkDynamicsMembership number[ INFO.INFO-SY ] Computer Science [cs]/Systems and Control [cs.SY]ImmunizationEpidemic model
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The Association of H1N1 Pandemic Influenza with Congenital Anomaly Prevalence in Europe

2015

BACKGROUND: In the context of the European Surveillance of Congenital Anomalies (EUROCAT) surveillance response to the 2009 influenza pandemic, we sought to establish whether there was a detectable increase of congenital anomaly prevalence among pregnancies exposed to influenza seasons in general, and whether any increase was greater during the 2009 pandemic than during other seasons.METHODS: We performed an ecologic time series analysis based on 26,967 pregnancies with nonchromosomal congenital anomaly conceived from January 2007 to March 2011, reported by 15 EUROCAT registries. Analysis was performed for EUROCAT-defined anomaly subgroups, divided by whether there was a prior hypothesis of…

Heart Septal Defects VentricularPediatricsmedicine.medical_specialtyEpidemiologyEPIDEMICSPrevalenceCRITICAL PERIODSContext (language use)DiseaseILLNESSmedicine.disease_causeTricuspid AtresiaDISEASECongenital AbnormalitiesInfluenza A Virus H1N1 SubtypePregnancyCystic Adenomatoid Malformation of Lung CongenitalInfluenza HumanPandemicPrevalenceInfluenza A virusHumansMedicineNeural Tube DefectsRegistriesPregnancy Complications InfectiousPandemicsTetralogy of FallotRISKPregnancyOUTCOMESbusiness.industryABNORMALITIESInfant NewbornPOLICIESmedicine.diseaseEuropeVaccinationTetralogy of FallotVACCINATIONFemaleTricuspid Valve StenosisbusinessPREGNANT-WOMENEpidemiology
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Work-life balance during the COVID-19 outbreak: the case of Latvia

2020

This paper aims to shed light on work-life balance in Latvia during the state of emergency The COVID-19 outbreak has led many governments to introduce lockdowns While imposed restrictions may help to contain the spread of the virus, they may also result in substantial damage to population well-being The COVID-19 outbreak in Latvia demonstrates the extent and ways in which socio-demographics factors have determined different patterns of behaviour, attitudes, employment changes and harmonised work and life balance The study describes the chronological development of COVID-19 in the country It describes labour migration to and from Latvia before the COVID-19 outbreak It provides geographical f…

HistorySociology and Political ScienceEconomicsGeography Planning and DevelopmentWork-life-balanceDistribution (economics)type of employmentwork-family balanceperception20500epidemic201000302 clinical medicine050602 political science & public administration030212 general & internal medicineBeschäftigungsformLabor Market Researcheducation.field_of_studySozialwissenschaften SoziologieHealth Policy05 social sciencesWork–life balanceWirtschaftLettland0506 political scienceGeographyWork (electrical)Familie-Berufddc:300GesundheitspolitikGeneral Economics Econometrics and FinanceCultural StudiesCOVID-19 outbreak; perception of threatsBeschäftigungseffektPopulation20400effect on employmentEpidemie2060003 medical and health sciencesState of emergencyDevelopment economicsddc:330educationWahrnehmungSocial sciences sociology anthropologyHealth policybusiness.industryArbeitsmarktforschungOutbreakLatviaBalance (accounting)businessSocial Sciences (miscellaneous)
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